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Bitdefender Network Traffic Security Analytics (NTSA)

Product
The name of the base system (platform): Artificial intelligence (AI, Artificial intelligence, AI)
Developers: Bitdefender
Technology: Firewall,  cybersecurity - Information loss preventions,  cybersecurity - the Fraud detection system (fraud),  cybersecurity - Information management and events in a security system (SIEM)

Bitdefender Network Traffic Security Analytics (NTSA) represents a product which work is connected with detection of threats in real time. NTSA analyzes behavior of devices in network and renders verdicts if it finds anomalies, also gives an idea of a threat context.

The concept comes down to use of machine learning and the analysis of behavior by means of analytics of the accumulated knowledge given using.

2020: Features and possibilities of Bitdefender of NTSA

According to information for March, 2020 the product NTSA is elementary in use, statistical solutions and flexible options of deployment are inherent to it. Activity of NTSA is directed to traffic of metadata. It promotes implementation of the analysis during the long time frame for the purpose of detection of a large number of difficult malware and also the expanded permanent self-reproduced threats.

Features of the solution NTSA for security:

  • possibility of detection of the expanded attacks which can miss other solutions of security;
  • ensuring unobstructed sight and understanding of the network activity connected with threats;
  • automation of notifications about sorting and ability to integrate with solutions on response to incidents;
  • Plug and play.

Features:

  • Recognition of threats of network traffic using the analysis of metadata in real time.
  • Reduction of risk of ex-filtering of confidential data. Recognition of harmful, dangerous or fraudulent behavior of users which can result in discrepancies in work or date leak.
  • The unobstructed sight of network threats extending to all managed and uncontrollable objects for the ciphered and not ciphered network traffic.
  • Automation of sorting of warnings and detection of threats with a high accuracy.
  • Thanks to intellectual sorting of incidents, work of commands on start of response to incidents is directed to the major existing problems.
  • Automation of sorting of warnings concerning the threats arising in the course of net surfing by means of GravityZone.
  • Strengthens means on observance of requirements by means of recognition of behavior of malefactors and record of traffic of metadata for a long time.

As there takes place work with NTSA:

  • in NTSA the artificial intelligence and machine learning is applied, these technologies are directed to the analysis of an operation mode of devices in networks. The analysis is directed as to the ciphered, not ciphered traffic in networks;
  • focusing is exclusive on traffic of metadata that allows to save all data in confidentiality;
  • NTSA is simple in use thanks to statistical solutions and interaction with the GravityZone platform.

What does NTSA:

  • performs early detection of discrepancies and reduces risk of ex-filtering of confidential data;
  • performs unobstructed sight of threats at net surfing;
  • NTSA reacts to incidents by means of GravityZone;
  • simplifies work on data protection.[1]

Notes